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Use models like Gemini via Google Gen AI SDK

Project description

Google Gen AI Haystack Integration

PyPI - Version PyPI - Python Version


Table of Contents

Installation

pip install google-genai-haystack

Usage

This integration provides components to use Google's Gemini models via the new Google Gen AI SDK.

Chat Generator

from haystack.dataclasses.chat_message import ChatMessage
from haystack_integrations.components.generators.google_genai import GoogleGenAIChatGenerator

# Initialize the chat generator
chat_generator = GoogleGenAIChatGenerator(model="gemini-2.0-flash")

# Generate a response
messages = [ChatMessage.from_user("Tell me about the future of AI")]
response = chat_generator.run(messages=messages)
print(response["replies"][0].text)

Streaming Chat Generator

from haystack.dataclasses.chat_message import ChatMessage
from haystack.dataclasses import StreamingChunk
from haystack_integrations.components.generators.google_genai import GoogleGenAIChatGenerator

def streaming_callback(chunk: StreamingChunk):
    print(chunk.content, end='', flush=True)

# Initialize with streaming callback
chat_generator = GoogleGenAIChatGenerator(
    model="gemini-2.0-flash",
    streaming_callback=streaming_callback
)

# Generate a streaming response
messages = [ChatMessage.from_user("Write a short story")]
response = chat_generator.run(messages=messages)
# Text will stream in real-time via the callback

License

google-genai-haystack is distributed under the terms of the Apache-2.0 license.

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